Method and system for identifiying assets and automating the creation and monetization of advertisements

Abstract

A machine-implemented method for generating one or more advertisements has an emphasis upon predictive formulation of advertisements having features or elements which are associated with or identified by tags, and where the process of generating ads is modified, such as based upon monitored engagement of displayed ads, for use in optimizing the advertisement creation process. The method is implemented by a model-driven advertisement generator which utilizes templates and rules to select assets defined by tags in order to generate advertisements which are defined by collections of associated tags.

What is claimed is: 
     
         1 . An intelligent system for generating an advertisement, comprising:
 a data storage device;   digital information stored in said data storage device, said digital information comprising a plurality of advertising assets each designated by a tag; a plurality of advertisement templates; and a plurality of advertisement rules; and   a processing device, coupled to the data storage device, to execute a model-driven advertisement generation tool, wherein the advertisement generation tool is configured to:
 receive input regarding one or more advertisement characteristics; 
 select one of said plurality of advertisement templates based upon said one or more advertisement characteristics; 
 select, using the advertisement template and one or more of said plurality of rules, a plurality of said advertising assets utilizing information associated with said tags; and 
 generate at least one advertisement utilizing said tags, said advertisement template and said one or more of said plurality of rules, wherein said at least one generated advertisement is defined by a relationship of said utilized tags. 
   
     
     
         2 . The system in accordance with  claim 1 , wherein each tag has an associated selection value. 
     
     
         3 . The system in accordance with  claim 2 , wherein each tag has a plurality of selection values in relation to said one or more advertisement templates. 
     
     
         4 . The system in accordance with  claim 1 , wherein said model-driven advertisement generation tool is configured to select said tags at least in part based upon the selection values associated with said tags. 
     
     
         5 . The system in accordance with  claim 1 , wherein said plurality of advertising assets comprise at least one of: a background, an image, a style, an environment, text, audio, and direction element. 
     
     
         6 . The system in accordance with  claim 1 , wherein said at least one generated advertisement has a temporal component and said at least one advertisement is defined by a relationship of said utilized tags at different times. 
     
     
         7 . The system in accordance with  claim 1 , wherein one or more elements of said plurality of advertisement rules are manually updated and one or more elements of said plurality of advertisement rules are updated based upon feedback provided to said system. 
     
     
         8 . The system in accordance with  claim 1 , wherein said model-driven advertisement generation tool receives advertisement engagement information and utilizes said advertisement engagement information to update said plurality of advertisement rules. 
     
     
         9 . The system in accordance with  claim 1 , wherein said advertisement engagement information comprises information regarding viewing of said at least one generated advertisement in at least one media channel. 
     
     
         10 . The system in accordance with  claim 1 , wherein said model-driven advertisement generation tool comprises an AI engine. 
     
     
         11 . The system in accordance with  claim 10 , wherein said AI engine comprises a generator component and a discriminator component, said generator component configured to generate one or more proposed advertisements using a first one or more of said plurality of rules, and said discriminator configured to determine acceptability of said one or more proposed advertisements as said generated advertisement based upon compliance with a second one or more of said plurality of rules. 
     
     
         12 . The system in accordance with  claim 2 , wherein said model-driven advertisement generation tool receives advertisement engagement information received from presentation of said at least one generated advertisement and utilizes said advertisement engagement information to update said selection value for at least one tag utilized in said presented advertisement. 
     
     
         13 . The system in accordance with  claim 2 , wherein said tags further comprise a similarity score, said similarity score defining a similarity of an asset associated with said tag in relation to at least one asset associated with another tag. 
     
     
         14 . The system in accordance with  claim 1 , wherein said model-driven advertisement tool further implements an advertisement optimization engine, said advertisement optimization engine configured to receive advertisement engagement information received from presentation of said at least one generated advertisement and utilize said advertisement engagement information to modify said at least one generated advertisement by selection of one or more alternate tags to comprise the at least one generated advertisement. 
     
     
         15 . The system in accordance with  claim 1 , wherein said plurality of advertisement templates comprise one or more templates which relate to a particular industry, product and/or service. 
     
     
         16 . The system in accordance with  claim 1 , wherein said information associated with said tags comprises a plurality of characteristics of said asset. 
     
     
         17 . The system in accordance with  claim 1 , wherein said at least one generated advertisement has a spatial component and said at least one generated advertisement is defined by a spatial relationship of said assets associated with said one or more selected tags. 
     
     
         18 . A method of intelligently automating the generation of an advertisement, comprising:
 providing a plurality of advertising assets each designated by a tag; a plurality of advertisement templates; and a plurality of advertisement rules;   receiving input regarding one or more advertisement characteristics;   utilizing a computer-implemented, model-driven advertisement generation tool to:
 select one of said plurality of advertisement templates based upon said one or more advertisement characteristics; 
 select, using the advertisement template and one or more of said plurality of rules, a plurality of said advertising assets utilizing information associated with said tags; and 
 generate at least one advertisement utilizing said tags, said advertisement template and said one or more of said plurality of rules, wherein said at least one generated advertisement is defined by a relationship of said utilized tags.